{"id":45646,"date":"2026-09-10T02:45:39","date_gmt":"2026-09-10T02:45:39","guid":{"rendered":"http:\/\/www.withdata.com\/blog\/?p=45646"},"modified":"2026-09-10T02:45:39","modified_gmt":"2026-09-10T02:45:39","slug":"datafileconverter-6-5-released","status":"publish","type":"post","link":"https:\/\/www.withdata.com\/blog\/pr\/datafileconverter-6-5-released.html","title":{"rendered":"DataFileConverter 6.5 Released: Fixed\u2011Width Text and YAML Format Support Added"},"content":{"rendered":"<p>September 9, 2026 \u2014 Withdata Software is pleased to announce the release of <strong><a href=\"https:\/\/www.withdata.com\/data-file-converter\/\">DataFileConverter 6.5<\/a><\/strong>, the cross\u2011platform desktop utility for converting structured data between files and database formats. This release adds two highly requested format types: fixed\u2011width text files and YAML files, both available as source and target formats, expanding options for data engineers, analysts and developers working with legacy and configuration\u2011oriented datasets.<\/p>\n<h2>What\u2019s New in DataFileConverter 6.5<\/h2>\n<h3>1. Fixed\u2011Width Text File Support (Source &amp; Target)<\/h3>\n<p>Version 6.5 adds full read\u2011write support for fixed\u2011width flat\u2011text files, widely used in legacy systems, COBOL exports and mainframe data workflows. Users can import fixed\u2011width text as a source format and also export converted data out to fixed\u2011width text files as target output. This eliminates extra pre\u2011processing steps when working with legacy fixed\u2011length record datasets.<\/p>\n<h3>2. YAML File Support (Source &amp; Target)<\/h3>\n<p>YAML is now supported both for input and output. You can load YAML configuration and structured\u2011data files for conversion to CSV, Excel, SQL, JSON, XML and other formats, and export existing datasets directly to YAML. This simplifies pipelines that handle application configuration files, DevOps artifacts and YAML\u2011based structured records.<\/p>\n<h3>3. Existing Proven Capabilities<\/h3>\n<p>Building on prior releases, DataFileConverter continues to support advanced features such as multi\u2011column\u2011key update\/upsert for SQL conversions, HTML\u2011table parsing, batch processing, session saving, and command\u2011line automation for scheduled jobs.<\/p>\n<h2>About DataFileConverter<\/h2>\n<p><a href=\"https:\/\/www.withdata.com\/data-file-converter\/\">DataFileConverter<\/a> is an all\u2011in\u2011one cross\u2011platform data conversion tool running on Windows, macOS and Linux. It supports bidirectional conversion among CSV, TSV, Excel, JSON, XML, HTML tables, SQL scripts, INI, RDF and now fixed\u2011width text and YAML.<\/p>\n<ul>\n<li>Visual point\u2011and\u2011click conversion wizard<\/li>\n<li>Command\u2011line interface for automated and scheduled batch jobs<\/li>\n<li>Batch\u2011convert multiple files, or split multi\u2011sheet Excel \/ multi\u2011table SQL files into separate outputs<\/li>\n<li>Preview data before conversion<\/li>\n<li>Preserve field names, data types and handle complex nested structures<\/li>\n<li>100\u202f% local offline processing for data privacy<\/li>\n<\/ul>\n<h2>Upgrade Today<\/h2>\n<p><a href=\"https:\/\/www.withdata.com\/data-file-converter\/\">DataFileConverter 6.5<\/a> is available for immediate download. Download it here: <a href=\"https:\/\/www.withdata.com\/data-file-converter\/download.html\">https:\/\/www.withdata.com\/data-file-converter\/download.html<\/a>. Existing users may update directly to gain fixed\u2011width and YAML conversion features. New users can download a free trial to test the complete format\u2011conversion workflow.<\/p>\n<p>Withdata Software continues to extend format coverage and reliability for real\u2011world data\u2011conversion scenarios based on user feedback.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>September 9, 2026 \u2014 Withdata Software is pleased to announce the release of DataFileConverter 6.5, the cross\u2011platform desktop utility for converting structured data between files and database formats. This release adds two highly requested format types: fixed\u2011width text files and YAML files, both available as source and target formats, expanding options for data engineers, analysts [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[69],"tags":[13755,13752,13751,2047,13753,13754],"class_list":["post-45646","post","type-post","status-publish","format-standard","hentry","category-pr","tag-batch-convert","tag-data-conversion","tag-datafileconverter","tag-etl","tag-fixedwidth-text","tag-yaml"],"_links":{"self":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts\/45646","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/comments?post=45646"}],"version-history":[{"count":1,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts\/45646\/revisions"}],"predecessor-version":[{"id":45647,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts\/45646\/revisions\/45647"}],"wp:attachment":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/media?parent=45646"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/categories?post=45646"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/tags?post=45646"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}